A Lightweight Zero-Trust-Based Authentication Framework for UAV Systems

To address identity cloning, credential leakage, and delayed authorization in unmanned aerial vehicle (UAV) systems operating in open airspace, we propose a zero-trust authentication and authorization framework. SM9 identity-based mutual authentication establishes a traceable digital identity anchor. On-demand rotor acoustic verification then checks whether the current platform matches the registered identity. A Beta-distribution trust model converts authentication, verification, and behavioral evidence into dynamic authorization decisions. Experimental results show that the acoustic module blocks 104 of 110 spoofing samples. Under identity-cloning attacks, the attacker’s trust value decreases from about 0.97 to 0.27 and falls below the isolation threshold of 0.4. Compared with continuous acoustic authentication, on-demand triggering reduces authentication activation frequency, average inference latency, and normalized energy consumption by 86.8%, 83.6%, and 83.0%, respectively. These results indicate that the framework links identity confirmation, entity verification, and continuous authorization under resource-constrained UAV conditions.

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Publication Details

Journal
Sensors
Published
2026-07-01
DOI
https://doi.org/10.3390/s26134161
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A Lightweight Zero-Trust-Based Authentication Framework for UAV Systems

Wenbao Han, Wei Ou, Yuehua Chen, Qiuling Yue et al.
Sensors
UAV Applications and Optimization
article

A Lightweight Zero-Trust-Based Authentication Framework for UAV Systems

Wenbao Han, Wei Ou, Yuehua Chen, Qiuling Yue, Mengxue Pang, Xiang Qu, Yishan Wu
article en

Abstract

To address identity cloning, credential leakage, and delayed authorization in unmanned aerial vehicle (UAV) systems operating in open airspace, we propose a zero-trust authentication and authorization framework. SM9 identity-based mutual authentication establishes a traceable digital identity anchor. On-demand rotor acoustic verification then checks whether the current platform matches the registered identity. A Beta-distribution trust model converts authentication, verification, and behavioral evidence into dynamic authorization decisions. Experimental results show that the acoustic module blocks 104 of 110 spoofing samples. Under identity-cloning attacks, the attacker’s trust value decreases from about 0.97 to 0.27 and falls below the isolation threshold of 0.4. Compared with continuous acoustic authentication, on-demand triggering reduces authentication activation frequency, average inference latency, and normalized energy consumption by 86.8%, 83.6%, and 83.0%, respectively. These results indicate that the framework links identity confirmation, entity verification, and continuous authorization under resource-constrained UAV conditions.

SensorsVol. 26(13)
Chinese Academy of Sciences (CN), Hainan University (CN), Institute of Information Engineering (CN), National Supercomputing Center in Wuxi (CN), Beijing City University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Hainan University
Affordable and clean energy
Openalex Percentile: Top 4%
UAV Applications and Optimization
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